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Risk Analytics and Modelling Analyst

ExperiencedNo visa sponsorship
HSBC logo

at HSBC

Other

Posted 15 days ago

No clicks

**Risk Analytics and Modelling Analyst** supports Retail Risk transformation, building scalable data solutions and driving risk-informed decisions. Key responsibilities include developing advanced data capabilities, contributing to cloud migrations (GCP, AWS, Azure), maintaining robust data pipelines, and automating workflows using SAS/SQL and Python. This role requires a degree in a quantitative field, certifications in Data Analytics or Risk, experience in large-scale data transformation programs, and proficiency in cloud environments, BI tools, and data governance. Minimize processes, deliver insights, and collaborate cross-functionally to succeed in this time-sensitive, senior-level position.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

Role purpose

The Data Analyst will play a critical role in supporting the transformation of Retail Risk through advanced data capabilities, cloud migration, and strong data governance practices. This role goes beyond traditional reporting, focusing on building scalable data solutions, ensuring data integrity, and enabling risk-driven decision-making across the organization.

Main activities

  • Support Retail Risk transformation by developing advanced, scalable data capabilities and solutions.
  • Contribute to cloud migration initiatives (e.g., GCP, AWS, Azure), including optimisation of existing code and processes.
  • Build and maintain robust data pipelines and datasets aligned to strong governance standards (quality, traceability, control).
  • Use SAS/SQL and Python to analyse data, automate workflows, and improve efficiency in time-sensitive processes.
  • Work with data architectures such as data lakes and data warehouses to enable future-ready analytics.
  • Produce insights and visualisations using BI tools (e.g., Looker, Power BI, Qlik) and advanced Excel.
  • Partner with stakeholders across Risk, Finance, Business and IT to translate business needs into data and analytics deliverables.
  • Proactively identify opportunities to automate, standardise, and continuously improve processes.

Requirements

  • Degree in Actuarial Science, Mathematics, Engineering, Economics, Finance, or a related field.
  • Certifications in Data Analytics, Cloud, or Risk are desirable.
  • Experience in large-scale data transformation programmes and code optimisation.
  • Experience working in cloud environments (GCP, AWS, Azure).
  • Strong SAS/SQL skills and Python for data analysis and automation.
  • Knowledge of data architectures (data lakes, data warehouses).
  • Experience with BI tools (Looker, Power BI, Qlik) and advanced Excel.
  • Familiarity with data governance tools (e.g., Collibra).
  • Intermediate English to collaborate with global teams.
  • Proactive, strong ownership and accountability, high attention to detail.
  • Clear communication with varied stakeholders (Finance, Business, IT).
  • Ability to work under pressure in time-sensitive processes.

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Risk Analytics and Modelling Analyst

Compensation

Not specified

City: Not specified

Country: Not specified

HSBC logo
Other

15 days ago

No clicks

at HSBC

ExperiencedNo visa sponsorship

**Risk Analytics and Modelling Analyst** supports Retail Risk transformation, building scalable data solutions and driving risk-informed decisions. Key responsibilities include developing advanced data capabilities, contributing to cloud migrations (GCP, AWS, Azure), maintaining robust data pipelines, and automating workflows using SAS/SQL and Python. This role requires a degree in a quantitative field, certifications in Data Analytics or Risk, experience in large-scale data transformation programs, and proficiency in cloud environments, BI tools, and data governance. Minimize processes, deliver insights, and collaborate cross-functionally to succeed in this time-sensitive, senior-level position.

Full Job Description

Role purpose

The Data Analyst will play a critical role in supporting the transformation of Retail Risk through advanced data capabilities, cloud migration, and strong data governance practices. This role goes beyond traditional reporting, focusing on building scalable data solutions, ensuring data integrity, and enabling risk-driven decision-making across the organization.

Main activities

  • Support Retail Risk transformation by developing advanced, scalable data capabilities and solutions.
  • Contribute to cloud migration initiatives (e.g., GCP, AWS, Azure), including optimisation of existing code and processes.
  • Build and maintain robust data pipelines and datasets aligned to strong governance standards (quality, traceability, control).
  • Use SAS/SQL and Python to analyse data, automate workflows, and improve efficiency in time-sensitive processes.
  • Work with data architectures such as data lakes and data warehouses to enable future-ready analytics.
  • Produce insights and visualisations using BI tools (e.g., Looker, Power BI, Qlik) and advanced Excel.
  • Partner with stakeholders across Risk, Finance, Business and IT to translate business needs into data and analytics deliverables.
  • Proactively identify opportunities to automate, standardise, and continuously improve processes.

Requirements

  • Degree in Actuarial Science, Mathematics, Engineering, Economics, Finance, or a related field.
  • Certifications in Data Analytics, Cloud, or Risk are desirable.
  • Experience in large-scale data transformation programmes and code optimisation.
  • Experience working in cloud environments (GCP, AWS, Azure).
  • Strong SAS/SQL skills and Python for data analysis and automation.
  • Knowledge of data architectures (data lakes, data warehouses).
  • Experience with BI tools (Looker, Power BI, Qlik) and advanced Excel.
  • Familiarity with data governance tools (e.g., Collibra).
  • Intermediate English to collaborate with global teams.
  • Proactive, strong ownership and accountability, high attention to detail.
  • Clear communication with varied stakeholders (Finance, Business, IT).
  • Ability to work under pressure in time-sensitive processes.

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.